Andrew Broderick, MA, MBA

Andrew Broderick, MA, MBA, is co-director of the Center for Innovation and Technology in Public Health, which leads PHI's efforts to accelerate the adoption and appropriate use of technology-enabled innovations in public health practices. He initiates, develops and implements research and evaluation projects, and ensures that they contribute to advancing technology-based interventions for improving public health.
Broderick studies and evaluates a number of technology platforms in public health applications. He is a principal investigator on a two-year national evaluation of the text-based messaging text4baby program among low-income, underserved women. He also manages research to evaluate the effectiveness of a text-based messaging intervention among a largely Hispanic adult population, newly diagnosed with type 2 diabetes, to support patient self-management.
With a goal of reducing preventable hospital readmissions, Broderick is research program director for a project to build a resource library that will enable U.S. health care delivery organizations to select the appropriate technologies to support the delivery of integrated care; understand the impact of business models and incentive structures on adoption; and develop strategies for deploying and sustaining such technologies at scale.
He earned his MA from Trinity College Dublin and his MBA from San Francisco State University
A National Evaluation of Text4baby
Mathematica Policy Research and PHI are jointly conducting an evaluation of the text-based messaging service text4baby among low-income, underserved women. The evaluation assesses changes in knowledge, health behaviors and use of recommended clinical services among those subscribing to the text-based messaging service. The study also assesses the implementation of text4baby and the potential for taking this and similar mobile health programs to scale.
Addressing the Needs of Vulnerable Populations through Digital Innovation
This project will establish a national initiative dedicated to the advancement and practical application of digital health solutions that address public health and population health needs of vulnerable populations. The initiative will serve as a national resource and knowledge base for public health providers in this arena. Staff will support capacity building among public health providers to support the design, development, implementation and evaluation. Focus will be on health and wellness by addressing chronic non-communicable diseases.
Listening to Communities
To improve the design and utilization of technology-enabled solutions (primarily mobile and app-based technologies) for vulnerable populations, this project will develop web-based vignettes of maternal/child health-related technology access and utilization through PHI’s HealthData+ platform with information gathered through Bay Area-based focus groups.
Mobile Health Fellowship to Advance Health Systems Transformation
Fellows participate in mobile health (mHealth) initiatives at PHI and the Center for Innovation and Technology in Public Health so they can develop the skills, contacts and resources to design and implement new mHealth interventions.
Reducing Rehospitalizations Through Innovative Technologies That Improve Care Coordination
This project builds a library of resources that enables service delivery organizations to: 1) select the appropriate technologies to support delivery of integrated care and reduce preventable hospital readmissions; 2) understand the impact of business models and incentive structures on technology adoption and financial performance; and 3) develop strategies for deploying and sustaining technological innovations to transform care delivery.
Safety Net Transformation Through Patient Engagement Using mHealth
This project will conduct a landscape analysis through key informant interviews and a survey of U.S. safety net providers on the current state of mobile health (mHealth) practice to address the needs of vulnerable populations, specifically mobile solutions that engage patients in their own care. The analysis will identify opportunities to advance mHealth solutions at scale to reduce health disparities.